Feng Wang

Feng Wang is a Professor at the School of Mathematical and Natural Sciences within Arizona State University's New College of Interdisciplinary Arts and Sciences. Her research spans network science, social media analysis, network optimization, network security, and wireless sensor networks, with publications in leading venues like IEEE Transactions and INFOCOM.

Education:

• Ph.D., Computer Science, University of Minnesota-Twin Cities (2005)
• M.S., Computer Science, Peking University (1999)
• B.S., Computer Science, Wuhan University (1996)

Research Interests focus on algorithm approximation for combinatorial optimization in wireless sensor and social networks, mathematical modeling of online social networks, and graph abstractions for network security. Current work explores IoT security analytics and pandemic surveillance through networked data.

Scientific Awards include Best Paper Award at WASA 2014 and Best Paper Runner-Up at HotPOST 2012. She has received NSF grants for projects like "Dynamic Mathematical Modeling of Information Diffusion" (2012-2016) and "ATD Framework for Epidemic Outbreaks" (2017-2020), plus Hong Kong RGC funding.

Grant Activities as PI/Co-PI include:

• NSF-CISE $250,000 (2012-2016)
• NSF $171,570 (2017-2020)
• Hong Kong RGC HK$645,500 (2014-2016)

Service includes editorial roles at Computational Social Networks and Discrete Mathematics, Algorithms and Applications, program committee membership for IEEE/ACM conferences (INFOCOM, ICDCS, etc.), and undergraduate curriculum committee work since 2010.